Items where Author is " Johri Amer M."

Singh Nikhil and Dubey Arun K. and Khanna Narendra N. and Tiwari Ekta and Singh Inder M. and Isenovic Esma R and Johri Amer M. and Mantella Laura E. and Laird John R and Faa Gavino and Ruzsa Zoltán and Singh Rajesh and Saxena Sanjay and Al-Maini Mustafa and Viskovic Klaudija and Kalra Manudeep K and Aggarwal Vikas and Nicolaides Andrew and Abbas Mohamed and Kitas George and Viswanathan Vijay and Saba Luca and Suri Jasjit S.: Attention/Transformer-based artificial intelligence models for carotid segmentation and intima media Thickness/Plaque area measurements in Japanese ultrasound scans.
MEASUREMENT, 267. ISSN 0263-2241 (2026)

Singh Manasvi and Kumar Ashish and Khanna Narendra N. and Laird John R. and Nicolaides Andrew and Faa Gavino and Johri Amer M. and Mantella Laura E. and Fernandes Jose Fernandes E. and Teji Jagjit S. and Singh Narpinder and Fouda Mostafa M. and Singh Rajesh and Sharma Aditya and Kitas George and Rathore Vijay and Singh Inder M. and Tadepalli Kalyan and Al-Maini Mustafa and Isenovic Esma R. and Chaturvedi Seemant and Garg Deepak and Paraskevas Kosmas I. and Mikhailidis Dimitri P. and Viswanathan Vijay and Kalra Manudeep K. and Ruzsa Zoltán and Saba Luca and Laine Andrew F. and Bhatt Deepak L. and Jasjit S. Suri: Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.
ECLINICALMEDICINE, 73. ISSN 2589-5370 (2024)

Saba Luca and Maindarkar Mahesh and Johri Amer M. and Mantella Laura and Laird John R. and Khanna Narendra N. and Paraskevas Kosmas I. and Ruzsa Zoltán and Kalra Manudeep K. and Fernandes Jose Fernandes E and Chaturvedi Seemant and Nicolaides Andrew and Rathore Vijay and Singh Narpinder and Isenovic Esma R. and Viswanathan Vijay and Fouda Mostafa M. and Suri Jasjit S.: UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review.
REVIEWS IN CARDIOVASCULAR MEDICINE, 25 (5). ISSN 1530-6550 (2024)

Al-Maini M. and Maindarkar M. and Kitas G.D. and Khanna N.N. and Misra D.P. and Johri Amer M. and Mantella Laura and Singh Inder M. and Sharma Aman and Tsoulfas George and Laird John R. and Faa Gavino and Teji Jagjit and Turk Monika and Ruzsa Zoltán and et al.: Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review.
RHEUMATOLOGY INTERNATIONAL, 43 (11). pp. 1965-1982. ISSN 0172-8172 (2023)

Saba Luca and Maindarkar Mahesh and Khanna Narendra N. and Johri Amer M. and Mantella Laura and Laird John R. and Paraskevas Kosmas I. and Ruzsa Zoltán and Kalra Manudeep K. and Fernandes Jose Fernandes E. and Chaturvedi Seemant and Nicolaides Andrew and Rathore Vijay and Singh Narpinder and Fouda Mostafa M. and et al.: A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool.
FRONTIERS IN BIOSCIENCE-LANDMARK, 28 (10). ISSN 2768-6701 (2023)

Suri Jasjit S and Agarwal Sushant and Chabert Gian Luca and Carriero Alessandro and Paschè Alessio and Danna Pietro S. C. and Saba Luca and Mehmedovic Armin and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Ruzsa Zoltán: COVLIAS 1.0Lesion vs. MedSeg : An Artificial Intelligence Framework for Automated Lesion Segmentation in COVID-19 Lung Computed Tomography Scans.
DIAGNOSTICS, 12 (5). Terjedelem: 34 p.-Azonosító: 1283. ISSN 2075-4418 (2022)

Suri Jasjit S. and Agarwal Sushant and Chabert Gian Luca and Carriero Alessandro and Paschè Alessio and Danna Pietro S. C. and Saba Luca and Mehmedovic Armin and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Ruzsa Zoltán: COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans.
DIAGNOSTICS, 12 (6). Terjedelem: 41 p.-Azonosító: 1482. ISSN 2075-4418 (2022)

Konstantonis George and Singh Krishna V. and Sfikakis Petros P. and Jamthikar Ankush D. and Kitas George D. and Gupta Suneet K. and Saba Luca and Verrou Kleio and Khanna Narendra N. and Ruzsa Zoltán and Sharma Aditya M. and Laird John R. and Johri Amer M. and Kalra Manudeep and Protogerou Athanasios and Suri Jasjit S.: Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients.
RHEUMATOLOGY INTERNATIONAL, 42. pp. 215-239. ISSN 0172-8172 (2022)

Suri Jasjit S. and Maindarkar Mahesh A. and Paul Sudip and Ahluwalia Puneet and Bhagawati Mrinalini and Saba Luca and Faa Gavino and Saxena Sanjay and Singh Inder M. and Chadha Paramjit S. and Turk Monika and Johri Amer M. and Khanna Narendra N. and Viskovic Klaudija and Ruzsa Zoltán: Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID‐19: A Narrative Review.
DIAGNOSTICS, 12 (7). Terjedelem: 47 p.-Azonosító: 1543. ISSN 2075-4418 (2022)

Suri Jasjit S. and Bhagawati Mrinalini and Paul Sudip and Protogerou Athanasios D. and Sfikakis Petros P. and Kitas George D. and Khanna Narendra N. and Ruzsa Zoltán and Sharma Aditya M. and Saksena Sanjay and Faa Gavino and Laird John R. and Johri Amer M. and Kalra Manudeep and Paraskevas Kosmas I. and Saba Luca: A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review.
DIAGNOSTICS, 12 (3). ISSN 2075-4418 (2022)

Suri Jasjit S. and Bhagawati Mrinalini and Paul Sudip and Protogeron Athanasios and Sfikakis Petros P. and Kitas George D. and Khanna Narendra N. and Ruzsa Zoltán and Sharma Aditya M. and Saxena Sanjay and Faa Gavino and Paraskevas Kosmas I. and Laird John R. and Johri Amer M. and Saba Luca and Kalra Manudeep: Understanding the bias in machine learning systems for cardiovascular disease risk assessment.
Computers in biology and medicine, 142. Terjedelem: 23 p-Azonosító: 105204. ISSN 1879-0534 (2022)

Suri Jasjit S. and Agarwal Sushant and Pathak Rajesh and Ketireddy Vedmanvitha and Columbu Marta and Saba Luca and Gupta Suneet K. and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Khanna Narendra N. and Ruzsa Zoltán: COVLIAS 1.0 : Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models.
DIAGNOSTICS, 11 (8). Terjedelem: 36 p-Azonosító: 1405. ISSN 2075-4418 (2021)

Suri Jasjit S. and Agarwal Sushant and Elavarthi Pranav and Pathak Rajesh and Ketireddy Vedmanvitha and Columbu Marta and Saba Luca and Gupta Suneet K. and Faa Gavino and Singh Inder M. and Turk Monika and Chadha Paramjit S. and Johri Amer M. and Nagy Ferenc Tamás and Ruzsa Zoltán: Inter-Variability Study of COVLIAS 1.0 : Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography.
DIAGNOSTICS, 11 (11). Terjedelem: 36 p-Azonosító: 2025. ISSN 2075-4418 (2021)

Biswas Mainak and Saba Luca and Omerzu Tomaz and Johri Amer M. and Khanna Narendra N. and Viskovic Klaudija and Mavrogeni Sophie and Laird John R. and Pareek Gyan and Miner Martin and Balestrieri Antonella and Sfikakis Petros P. and Protogerou Athanasios and Misra Durga Prasanna and Ruzsa Zoltán: A Review on Joint Carotid Intima-Media Thickness and Plaque Area Measurement in Ultrasound for Cardiovascular/Stroke Risk Monitoring: Artificial Intelligence Framework.
JOURNAL OF DIGITAL IMAGING, 34 (3). pp. 581-604. ISSN 0897-1889 (2021)